TY  - CONF
AU  - Ali, Haider Adel
AU  - Raijmakers, Luc
AU  - Danilov, Dmitri
AU  - Notten, Peter H. L.
AU  - Eichel, Rüdiger-A.
TI  - A comparison between physics-based Li-ion battery models
M1  - FZJ-2023-03887
PY  - 2023
AB  - Physics-based electrochemical battery models are widely used as powerful tools for simulating lithium-ion battery behavior and for providing an understanding of the internal physical and electrochemical processes. However, due to their complexity and high computational demand, these models may not be feasible for battery management systems (BMS) and long-term aging simulations. Models with reduced order, such as the Extended Single Particle Model (ESPM), Single Particle Model (SPM), and Polynomial and Padé approximations, calculating Fick's 2nd law, improve calculation speed. However, choosing the appropriate simplification approach for a particular cell type and operating condition can be challenging. This study provides insights into the simulation accuracy and calculation speed of various reduced-order models for high-energy (HE) and high-power (HP) batteries at various C-rates. Results are compared to the DFN model.
T2  - Advanced battery power conference
CY  - 27 Apr 2023 - 28 Apr 2023, Aachen (Germany)
Y2  - 27 Apr 2023 - 28 Apr 2023
M2  - Aachen, Germany
LB  - PUB:(DE-HGF)24
UR  - https://juser.fz-juelich.de/record/1016980
ER  -